Pulse Compression Waveform and Filter Optimization for Spaceborne Cloud and Precipitation Radar

The optimal design of pulse compression waveform/filter pairs for use with near-nadir spaceborne radar in low earth orbit for the observation of clouds and precipitation is discussed. An optimization technique is introduced that considers performance metrics specific to the remote sensing of clouds...

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Published in:IEEE transactions on geoscience and remote sensing Vol. 55; no. 2; pp. 915 - 931
Main Authors: Beauchamp, Robert M., Tanelli, Simone, Peral, Eva, Chandrasekar, V.
Format: Journal Article
Language:English
Published: New York IEEE 01-02-2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract The optimal design of pulse compression waveform/filter pairs for use with near-nadir spaceborne radar in low earth orbit for the observation of clouds and precipitation is discussed. An optimization technique is introduced that considers performance metrics specific to the remote sensing of clouds and precipitation from such platforms. Specifically, the sensitivity of the radar to precipitation and clouds is maximized as close to the ground as required. The sensitivity of the radar near the surface is typically limited by the pulse compression range sidelobes from the surface's echo. Optimization of the waveform/filter pair's performance is facilitated by a time-domain radar scattering model to simulate radar reflectivity range profiles. The presented radar-scattering model accounts for the radar's configuration constraints and platform motion, as well as the spatial distribution and relative motion of the scatterers. In this paper, the optimization of both linear frequency modulation (LFM) and nonlinear frequency modulation (NLFM) waveforms is considered. It is demonstrated that the LFM waveforms provide superior performance over NLFM waveforms for application subject to unmitigated Doppler shifts.
AbstractList The optimal design of pulse compression waveform/filter pairs for use with near-nadir spaceborne radar in low earth orbit for the observation of clouds and precipitation is discussed. An optimization technique is introduced that considers performance metrics specific to the remote sensing of clouds and precipitation from such platforms. Specifically, the sensitivity of the radar to precipitation and clouds is maximized as close to the ground as required. The sensitivity of the radar near the surface is typically limited by the pulse compression range sidelobes from the surface's echo. Optimization of the waveform/filter pair's performance is facilitated by a time-domain radar scattering model to simulate radar reflectivity range profiles. The presented radar-scattering model accounts for the radar's configuration constraints and platform motion, as well as the spatial distribution and relative motion of the scatterers. In this paper, the optimization of both linear frequency modulation (LFM) and nonlinear frequency modulation (NLFM) waveforms is considered. It is demonstrated that the LFM waveforms provide superior performance over NLFM waveforms for application subject to unmitigated Doppler shifts.
Author Peral, Eva
Chandrasekar, V.
Tanelli, Simone
Beauchamp, Robert M.
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  surname: Chandrasekar
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  organization: Colorado State Univ., Fort Collins, CO, USA
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Snippet The optimal design of pulse compression waveform/filter pairs for use with near-nadir spaceborne radar in low earth orbit for the observation of clouds and...
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SubjectTerms Clouds
Compression
Computer simulation
Constraint modelling
Doppler sonar
Earth
Earth orbit
Earth orbits
Echoes
Frequency dependence
Frequency modulation
Low earth orbits
Meteorological radar
Optimization
Optimization techniques
Performance measurement
Precipitation
Profiles
Pulse compression
pulse compression methods
Radar
radar clutter
Radar cross-sections
radar remote sensing
Radar scattering
Reflectance
Remote sensing
Sea surface
Sensitivity
Sidelobes
Spaceborne radar
Spatial distribution
Surface waves
Waveforms
Title Pulse Compression Waveform and Filter Optimization for Spaceborne Cloud and Precipitation Radar
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